<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>D Gruen | Home</title><link>https://aai-lab.org/author/d-gruen/</link><atom:link href="https://aai-lab.org/author/d-gruen/index.xml" rel="self" type="application/rss+xml"/><description>D Gruen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Oct 2021 00:00:00 +0000</lastBuildDate><image><url>https://aai-lab.org/media/icon_hu11380638421140616052.png</url><title>D Gruen</title><link>https://aai-lab.org/author/d-gruen/</link></image><item><title>A data-pipeline processing electrocardiogram recordings for use in artificial intelligence algorithms</title><link>https://aai-lab.org/publication/prim-data-pipeline-2021/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://aai-lab.org/publication/prim-data-pipeline-2021/</guid><description/></item><item><title>Detecting a broader spectrum of cardiac pathologies in electrocardiogram data by applying a deep neural network designed to detect a specific cardiac disease</title><link>https://aai-lab.org/publication/wegener-detecting-2021/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://aai-lab.org/publication/wegener-detecting-2021/</guid><description/></item><item><title>On the importance of representative datasets in ECG-based artificial intelligence</title><link>https://aai-lab.org/publication/gumpfer-importance-2021/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://aai-lab.org/publication/gumpfer-importance-2021/</guid><description/></item><item><title>Predicting mortality in cardiovascular patients using electrocardiogram data and artificial intelligence</title><link>https://aai-lab.org/publication/wegener-predicting-2021/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://aai-lab.org/publication/wegener-predicting-2021/</guid><description/></item></channel></rss>